9eae70be43bee8dde7fd4c75c2534331a10de6a1,infcomp/modules.py,Artifact,loss,#Artifact#Any#Any#,448

Before Change

                for t in range(o.size(0)):
                    obs[b, t] = o[t]
            obs_var = Variable(obs, requires_grad=False)
            if data_parallel and self.on_cuda:
                obs_emb = torch.nn.DataParallel(self.observe_layer)(obs_var)
            else:
                obs_emb = self.observe_layer(obs_var)

            for b in range(batch.length):
                seq_len = batch_sorted_by_observes[b].observes.size(0)
                batch_sorted_by_observes[b].observes_embedding = obs_emb[b, seq_len - 1]
        else:

After Change

                for t in range(o.size(0)):
                    obs[b, t] = o[t]
            obs_var = Variable(obs, requires_grad=False)
            obs_var = torch.nn.utils.rnn.pack_padded_sequence(obs_var, observes_lengths, batch_first=True)
            obs_emb = self.observe_layer.forward_packed(obs_var, batch.length)
            obs_emb, _ = torch.nn.utils.rnn.pad_packed_sequence(obs_emb, batch_first=True)

            for b in range(batch.length):
                seq_len = batch_sorted_by_observes[b].observes.size(0)
                batch_sorted_by_observes[b].observes_embedding = obs_emb[b, seq_len - 1]

Instances